Triple
T11307391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordi |
E267750
|
entity |
| Predicate | hasGuestArtist |
P10644
|
FINISHED |
| Object | Tainy |
E735718
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tainy | Statement: [Jordi, hasGuestArtist, Tainy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tainy Context triple: [Jordi, hasGuestArtist, Tainy]
-
A.
Tainy
chosen
Tainy is a Puerto Rican record producer and songwriter renowned for shaping modern reggaeton and Latin urban music through hits with artists like Bad Bunny, J Balvin, and Daddy Yankee.
-
B.
Rayvanny
Rayvanny is a Tanzanian Bongo Flava and Afro-pop singer and songwriter known for his hit singles and work under the WCB Wasafi record label.
-
C.
Timia
Timia is an oasis village in northern Niger, known for its date palms, gardens, and role as a traditional Tuareg settlement in the Aïr Mountains.
-
D.
Zaytoven
Zaytoven is an American record producer and DJ known for his influential work in trap music and collaborations with major hip-hop artists.
-
E.
Laino
Laino is a small Italian municipality located in the Valle d’Intelvi area of the Lombardy region, near Lake Como.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a62ceec8190af25edf44c5fc1e9 |
completed | April 19, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.